Evidence map›Paper›PMID 33489006›Full record

ReviewComputational and structural biotechnology journal2021

Synthetic gut microbiome: Advances and challenges.

Humphrey A Mabwi, Eunjung Kim, Dae-Geun Song, Hyo Shin Yoon, Cheol-Ho Pan, Erick V G Komba, GwangPyo Ko, Kwang Hyun Cha

Abstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Present and future of microbiome-targeting therapeutics.The Journal of clinical investigation · 2025
    Review
  7. Review
  8. AI in microbiome-related healthcare.Microbial biotechnology · 2024
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Fecal Microbiota Transplantation ReducesAntibiotics (Basel, Switzerland) · 2023
    Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Humphrey A MabwiKIST Gangneung Institute of Natural Products, Gangneung 25451, Republic of Korea.
Eunjung KimKIST Gangneung Institute of Natural Products, Gangneung 25451, Republic of Korea.
Dae-Geun SongKIST Gangneung Institute of Natural Products, Gangneung 25451, Republic of Korea.
Hyo Shin YoonKIST Gangneung Institute of Natural Products, Gangneung 25451, Republic of Korea.
Cheol-Ho PanKIST Gangneung Institute of Natural Products, Gangneung 25451, Republic of Korea.
Erick V G KombaSACIDS Foundation for One Health, College of Veterinary Medicine and Biomedical Sciences, Sokoine University of Agriculture, Morogoro 25523, Tanzania.
GwangPyo KoDepartment of Environmental Health Sciences, School of Public Health, Seoul National University, Seoul 08826, Republic of Korea.
Kwang Hyun ChaKIST Gangneung Institute of Natural Products, Gangneung 25451, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An exponential rise in studies regarding the association among human gut microbial communities, human health, and diseases is currently attracting the attention of researchers to focus on human gut microbiome research. However, even with the ever-growing number of studies on the human gut microbiome, translation into improved health is progressing slowly. This hampering is due to the complexities of the human gut microbiome, which is composed of >1,000 species of microorganisms, such as bacteria, archaea, viruses, and fungi. To overcome this complexity, it is necessary to reduce the gut microbiome, which can help simplify experimental variables to an extent, such that they can be deliberately manipulated and controlled. Reconstruction of synthetic or established gut microbial communities would make it easier to understand the structure, stability, and functional activities of the complex microbial community of the human gut. Here, we provide an overview of the developments and challenges of the synthetic human gut microbiome, and propose the incorporation of multi-omics and mathematical methods in a better synthetic gut ecosystem design, for easy translation of microbiome information to therapies.

Indexed as

Gut ecosystemMathematical modellingOmicsSynthetic microbiota

Identifiers

PMID33489006
PMCPMC7787941

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.